[Effects of laser combined with periodontal basic treatment on periodontal indices, subgingival microflora, adiponectin, MMP-13 and IL-1ß in gingival crevicular fluid in patients with periodontitis].

PURPOSE: To investigate the effects of laser combined with periodontal basic treatment on periodontal indices, subgingival flora, adiponectin, matrix metalloproteinase-13 (MMP-13) and interleukin-1ß (IL-1ß) in patients with periodontitis. METHODS: A retrospective analysis was performed on 100 patients with periodontitis diagnosed and treated in Hengshui People's Hospital from December 2022 to July 2023. According to treatment methods, the patients were divided into control group (n=51) and experimental group (n=49). The control group received periodontal basic treatment, and the experimental group received laser treatment on the basis of the control group. The periodontal indexes, subgingival microflora, adiponectin, MMP-13, IL-1ß and bone metabolic factors of gingival crevicular fluid before and after treatment were compared between the two groups, as well as the clinical therapeutic effect. Statistical analysis was performed with SPSS 22.0 software package. RESULTS: After treatment, probing depth(PD), bleeding on probing(BOP), gingival index(GI) and plaque index (PLI) in the experimental group were lower than before treatment (P＜0.05), PD, BOP and PLI in the control group were lower than before treatment (P＜0.05), and PD, BOP, GI and PLI in the experimental group were significantly lower than those in control group (P＜0.05). After treatment, Lactobacillus, Clostridium and Bacteroides in both groups were significantly lower than before treatment (P＜0.05), and the experimental group was significantly lower than the control group(P＜0.05). After treatment, adiponectin in gingival crevicular fluid increased in both groups compared with before treatment(P＜0.05), and MMP-13 and IL-1ß in gingival crevicular fluid decreased in both groups compared with before treatment (P＜0.05), and adiponectin in gingival crevicular fluid in the experimental group was significantly higher than that in the control group (P＜0.05), MMP-13 and IL-1ß in the experimental group were significantly higher than that in the control group (P＜0.05). After treatment, procollagenⅠtype N-terminal peptide (PINP), cross linked C-telopeptide of type Ⅰ collagen(CXT) and bone glaprotein (BGP) were significantly higher than those before treatment (P＜0.05), and the experimental group was significantly higher than the control group (P＜0.05). The total effective rate of the experimental group was significantly higher than that of the control group (P＜0.05). CONCLUSIONS: Laser combined with periodontal basic treatment can effectively improve periodontal indexes, reduce subgingival flora, increase the levels of adiponectin and bone metabolic factor in gingival crevicular fluid, reduce the levels of MMP-13 and IL-1ß in gingival crevicular fluid, and improve the clinical therapeutic effect in patients with periodontitis.

Hepatic microcirculatory disturbance in liver diseases: intervention with traditional Chinese medicine.

The liver, a complex parenchymal organ, possesses a distinctive microcirculatory system crucial for its physiological functions. An intricate interplay exists between hepatic microcirculatory disturbance and the manifestation of pathological features in diverse liver diseases. This review updates the main characteristics of hepatic microcirculatory disturbance, including hepatic sinusoidal capillarization, narrowing of sinusoidal space, portal hypertension, and pathological angiogenesis, as well as their formation mechanisms. It also summarized the detection methods for hepatic microcirculation. Simultaneously, we have also reviewed the characteristics of microcirculatory disturbance in diverse liver diseases such as acute liver failure, hepatic ischemia-reperfusion injury, viral hepatitis, non-alcoholic fatty liver disease, hepatic fibrosis, hepatic cirrhosis, and hepatocellular carcinoma. Finally, this review also summarizes the advancement in hepatic microcirculation attributed to traditional Chinese medicine (TCM) and its active metabolites, providing novel insights into the application of TCM in treating liver diseases.

Dual Dirac Nodal Line in Nearly Freestanding Electronic Structure of ß-Sn Monolayer.

Two-dimensional topological insulators (2D TIs) have distinct electronic properties that make them attractive for various applications, especially in spintronics. The conductive edge states in 2D TIs are protected from disorder and perturbations and are spin-polarized, which restrict current flow to a single spin orientation. In contrast, topological nodal line semimetals (TNLSM) are distinct from TIs because of the presence of a 1D ring of degeneracy formed from two bands that cross each other along a line in the Brillouin zone. These nodal lines are protected by topology and can be destroyed only by breaking certain symmetry conditions, making them highly resilient to disorder and defects. However, 2D TNLSMs do not possess protected boundary modes, which makes their investigation challenging. There have been several theoretical predictions of 2D TNLSMs, however, experimental realizations are rare. ß-Sn, a metallic allotrope of tin with a superconducting temperature of 3.72 K, may be a candidate for a topological superconductor that can host Majorana Fermions for quantum computing. In this work, single layers of α-Sn and ß-Sn on a Cu(111) substrate are successfully prepared and studied using scanning tunneling microscopy, angle-resolved photoemission spectroscopy, and density functional theory calculations. The lattice and electronic structure undergo a topological transition from 2D topological insulator α-Sn to 2D TNLSM ß-Sn, with two types of nodal lines coexisting in monolayer ß-Sn. Such a realization of two types of nodal lines in one 2D material has not been reported to date. Moreover, we also observed an unexpected phenomenon of freestanding-like electronic structures of ß-Sn/Cu(111), highlighting the potential of ultrathin ß-Sn films as a platform for exploring the electronic properties of 2D TNLSM and topological superconductors, such as few-layer superconducting ß-Sn in lateral contact with topological nodal line single-layer ß-Sn.

Improved Measurement of the Differential Polarizability Using Co-Trapped Ions.

We present a novel approach for measuring the differential static scalar polarizability of a target ion utilizing a "polarizability scale" scheme with a reference ion co-trapped in a linear Paul trap. The differential static scalar polarizability of the target ion can be precisely extracted by measuring the ratio of the ac Stark shifts induced by an add-on infrared laser shed on both ions. This method circumvents the need for the calibration of the intensity of the add-on laser, which is usually the bottleneck for measurements of the polarizability of trapped ions. As a demonstration, ^{27}Al^{+} (the target ion) and ^{40}Ca^{+} (the reference ion) are used in this work, with an add-on laser at 1068 nm injected into the ion trap along the trap axis. The differential static scalar polarizability of ^{27}Al^{+} is extracted to be 0.416(14) a.u. by measuring the ratio of the ac Stark shifts of both ions. Compared to the most recent result [Phys. Rev. Lett. 123, 033201 (2019)PRLTAO0031-900710.1103/PhysRevLett.123.033201], the relative uncertainty of the differential static scalar polarizability of ^{27}Al^{+} is reduced by approximately a factor of 4, to 3.4%. This improvement is expected to be further enhanced by using an add-on laser with a longer wavelength.

Activated dormant stem cells recover spermatogenesis in chemoradiotherapy-induced infertility.

Male infertility is a recognized side effect of chemoradiotherapy. Extant spermatogonial stem cells (SSCs) may act as originators for any subsequent recovery. However, which type of SSCs, the mechanism by which they survive and resist toxicity, and how they act to restart spermatogenesis remain largely unknown. Here, we identify a small population of Set domain-containing protein 4 (Setd4)-expressing SSCs that occur in a relatively dormant state in the mouse seminiferous tubule. Extant beyond high-dose chemoradiotherapy, these cells then activate to recover spermatogenesis. Recovery fails when Setd4+ SSCs are deleted. Confirmed to be of fetal origin, these Setd4+ SSCs are shown to facilitate early testicular development and also contribute to steady-state spermatogenesis in adulthood. Upon activation, chromatin remodeling increases their genome-wide accessibility, enabling Notch1 and Aurora activation with corresponding silencing of p21 and p53. Here, Setd4+ SSCs are presented as the originators of both testicular development and spermatogenesis recovery in chemoradiotherapy-induced infertility.

The expected changes with different periods of home-based resistance exercise in patients with chronic kidney disease.

BACKGROUND: The comprehensive impact of prolonged home-based resistance training on individuals grappling with chronic kidney disease (CKD) have yet to be fully elucidated. This study aimed to explore the outcomes of varying exercise durations on physical performance, nutritional status, and kidney function within this specific population, encompassing patients undergoing dialysis and those affected by severe sarcopenia. METHODS: This was a 1-year observational double cohort study following a 52-week longitudinal design, we enrolled 101 adult CKD outpatients. These participants were divided into two groups: the continuous group, comprising individuals who consistently exercised for over 6 months, and the interrupted group, which included those who did not sustain regular exercise for the same duration. The exercise regimen involved resistance exercises conducted at least 3 to 5 days per week, involving activities like lifting dumbbells and executing weighted wall squats. Physical activity assessments and biochemical blood tests were conducted at weeks 0, 4, 16, 28, 40, and 52 for all participants. RESULTS: The continuous exercise group exhibited better handgrip strength and sit-to-stand movement compared to the interrupted group. Their estimated glomerular filtration rate stayed steady while the interrupted group was declined. Additionally, those who exercised consistently had better metabolism: higher carbon dioxide levels, increased albumin, better nutritional scores, and lower levels of blood urea nitrogen, creatinine, fasting blood glucose, and body weight. Subsequent adjustments for potential confounding factors continued to show improved physical performance and kidney function over time. CONCLUSION: Our findings indicate the advantageous impact of extended resistance exercise training on overall health of CKD patients, even those on dialysis or with severe sarcopenia. Dedication to this exercise routine could improve kidney function, metabolism, and physical abilities in these patients.

Laboratory capacity expansion: lessons from establishing molecular testing in regional referral laboratories in Ethiopia.

Respiratory viruses contribute to high morbidity and mortality in Africa. In 2020, the Ohio State University's Global One Health Initiative, in collaboration with the Ethiopian Public Health Institute and the US Centers for Disease Control and Prevention, took action to strengthen Ethiopia's existing respiratory virus surveillance system through decentralization of laboratory testing and scale-up of national and regional capacity for detecting respiratory viruses. In August 2022, four regional laboratories were established, thereby raising the number of reference laboratories conducting respiratory virus surveillance to five. This article highlights lessons learned during implementation and outlines processes undertaken for laboratory scale-up and decentralization.

Analysis of sleep quality, disease uncertainty, and psychological tolerance in patients undergoing chemotherapy for digestive tract malignancies.

BACKGROUND: Colorectal cancer is the second leading cause of cancer-related deaths among digestive tract malignancies, following gastric cancer. Sleep is of great significance for maintaining human health. The incidence of sleep disorders in patients with cancer is approximately twice that observed in the general population. Lack of sleep can prolong hospital stays, increase the likelihood of infection, and increase mortality rates. Therefore, studying the factors related to sleep quality is significant for improving the quality of life of patients with malignant tumors of the digestive tract. AIM: To investigate the relationships among sleep quality, disease uncertainty, and psychological resilience in patients undergoing chemotherapy for digestive tract malignancies. METHODS: A total of 131 patients with malignant digestive tract tumors who were treated at Hefei BOE Hospital between April 2021 and September 2022 were selected as research participants. Based on their Pittsburgh Sleep Quality Index (PSQI) scores, participants were divided into either the sleep disorder group (PSQI score > 7) or the normal sleep group (PSQI score ≤ 7). The clinical data-together with the Mishel Uncertainty in Illness Scale for Adults (MUIS-A) and Connor-Davidson Resilience Scale (CD-RISC) scores-were compared. RESULTS: In this study, 78 (59.54%) patients with digestive tract malignancies developed sleep disorders after chemotherapy. Sleep disorder incidence was higher in patients with colorectal cancer than in those with gastric and esophageal cancers (P < 0.05). The total MUIS-A score and those for each item in the sleep disorder group were higher than those in the normal sleep group. The total CD-RISC score and those for each item in the sleep disorder group were lower than those in the normal sleep group (P < 0.05). The PSQI scores of patients with malignant digestive tract tumors were positively correlated with the scores for lack of disease information, disease uncertainty, and unpredictability in the MUIS-A and negatively correlated with the scores for tenacity, self-improvement, and optimism in the CD-RISC (P < 0.05). CONCLUSION: Patients undergoing chemotherapy for digestive tract malignancies are prone to sleep problems related to disease uncertainty and psychological resilience. Therefore, interventions can be implemented to improve their sleep quality.

Machine learning based on metabolomics unveils neutrophil extracellular trap-related metabolic signatures in non-small cell lung cancer patients undergoing chemoimmunotherapy.

BACKGROUND: Non-small cell lung cancer (NSCLC) is the primary form of lung cancer, and the combination of chemotherapy with immunotherapy offers promising treatment options for patients suffering from this disease. However, the emergence of drug resistance significantly limits the effectiveness of these therapeutic strategies. Consequently, it is imperative to devise methods for accurately detecting and evaluating the efficacy of these treatments. AIM: To identify the metabolic signatures associated with neutrophil extracellular traps (NETs) and chemoimmunotherapy efficacy in NSCLC patients. METHODS: In total, 159 NSCLC patients undergoing first-line chemoimmunotherapy were enrolled. We first investigated the characteristics influencing clinical efficacy. Circulating levels of NETs and cytokines were measured by commercial kits. Liquid chromatography tandem mass spectrometry quantified plasma metabolites, and differential metabolites were identified. Least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and random forest algorithms were employed. By using plasma metabolic profiles and machine learning algorithms, predictive metabolic signatures were established. RESULTS: First, the levels of circulating interleukin-8, neutrophil-to-lymphocyte ratio, and NETs were closely related to poor efficacy of first-line chemoimmunotherapy. Patients were classed into a low NET group or a high NET group. A total of 54 differential plasma metabolites were identified. These metabolites were primarily involved in arachidonic acid and purine metabolism. Three key metabolites were identified as crucial variables, including 8,9-epoxyeicosatrienoic acid, L-malate, and bis(monoacylglycerol)phosphate (18:1/16:0). Using metabolomic sequencing data and machine learning methods, key metabolic signatures were screened to predict NET level as well as chemoimmunotherapy efficacy. CONCLUSION: The identified metabolic signatures may effectively distinguish NET levels and predict clinical benefit from chemoimmunotherapy in NSCLC patients.

Factors Associated with Uptake of Routine Measles-Containing Vaccine Doses among Young Children, Oromia Regional State, Ethiopia, 2021.

Recommended vaccination at nine months of age with the measles-containing vaccine (MCV1) has been part of Ethiopia's routine immunization program since 1980. A second dose of MCV (MCV2) was introduced in 2019 for children 15 months of age. We examined MCV1 and MCV2 coverage and the factors associated with measles vaccination status. A cross-sectional household survey was conducted among caregivers of children aged 12-35 months in selected districts of Oromia Region. Measles vaccination status was determined using home-based records, when available, or caregivers' recall. We analyzed the association between MCV1 and MCV2 vaccination status and household, caregiver, and child factors using logistic regression. The caregivers of 1172 children aged 12-35 months were interviewed and included in the analysis. MCV1 and MCV2 coverage was 71% and 48%, respectively. The dropout rate (DOR) from the first dose of Pentavalent vaccine to MCV1 was 22% and from MCV1 to MCV2 was 46%. Caregivers were more likely to vaccinate their children with MCV if they gave birth at a health facility, believe that their child had received all recommended vaccines, and know the required number of vaccination visits and doses. MCV2 coverage was low, with a high measles dropout rate (DOR). Caregivers with high awareness of MCV and its schedule were more likely to vaccinate their children. Intensified demand generation, defaulter tracking, and vaccine-stock management should be strengthened to improve MCV uptake.

Comparison of Classically and Machine Learning Generated Survival Prediction Models for Patients With Spinal Metastasis - A meta-Analysis of Two Recently Developed Algorithms.

STUDY DESIGN: A systemic review and a meta-analysis. We also provided a retrospective cohort for validation in this study. OBJECTIVE: (1) Using a meta-analysis to determine the pooled discriminatory ability of The Skeletal Oncology Research Group (SORG) classical algorithm (CA) and machine learning algorithms (MLA); and (2) test the hypothesis that SORG-CA has less variability in performance than SORG-MLA in non-American validation cohorts as SORG-CA does not incorporates regional-specific variables such as body mass index as input. METHODS: After data extraction from the included studies, logit-transformation was applied for extracted AUCs for further analysis. The discriminatory abilities of both algorithms were directly compared by their logit (AUC)s. Further subgroup analysis by region (America vs non-America) was also conducted by comparing the corresponding logit (AUC). RESULTS: The pooled logit (AUC)s of 90-day SORG-CA was .82 (95% confidence interval [CI], .53-.11), 1-year SORG-CA was 1.11 (95% CI, .74-1.48), 90-day SORG-MLA was 1.36 (95% CI, 1.09-1.63), and 1-year SORG-MLA was 1.57 (95% CI, 1.17-1.98). All the algorithms performed better in United States than in Taiwan (P < .001). The performance of SORG-CA was less influenced by a non-American cohort than SORG-MLA. CONCLUSION: These observations might highlight the importance of incorporating region-specific variables into existing models to make them generalizable to racially or geographically distinct regions.

Predictive value of intracranial high-density areas in neurological function.

BACKGROUND: Intracranial high-density areas (HDAs) have attracted considerable attention for predicting clinical outcomes; however, whether HDAs predict worse neurological function and mental health remains controversial and unclear, which requires further investigation. AIM: To investigate the predictive value of intracranial HDAs for neurological function and mental health after endovascular treatment. METHODS: In this prospective study, 96 patients with acute ischemic stroke (AIS) who accepted endovascular mechanical thrombectomy (EMT) were included. The enrolled patients underwent cranial computed tomography (CT) examination within 24 hours after EMT. Clinical data in terms of National Institutes of Health Stroke Scale (NIHSS), the 3-month modified Rankin Scale (mRS), self-rating depression scale (SDS), and self-rating anxiety scale (SAS) scores were collected and compared between patients with HDAs and non-HDAs and between patients with good and poor clinical prognosis. RESULTS: Compared to patients without HDAs, patients with HDAs presented severe neurological deficits (admission NIHSS score: 18 ± 3 vs 19 ± 4), were more likely to have post-stroke disabilities (mRS < 3: 35% vs 62%), and suffered more severe depression (SDS score: 58 ± 16 vs 64 ± 13) and anxiety disorder (SAS score: 52 ± 8 vs 59 ± 10). Compared to patients with a good prognosis, patients with a poor prognosis presented severe neurological deficits (admission NIHSS score: 17 ± 4 vs 20 ± 3), were more likely to have HDAs on CT images (64% vs 33%), and suffered more severe depression (SDS score: 55 ± 19 vs 65 ± 11) and anxiety (SAS score: 50 ± 8 vs 58 ± 12). Multivariate analysis revealed that HDAs were independent negative prognostic factors. CONCLUSION: In conclusion, HDAs on CT images predicted poor prognosis and severe depressive and anxiety symptoms in patients with AIS who underwent EMT.

Risk Factors of Failed Conservative Treatment for Adjacent Vertebral Fractures Following Percutaneous Vertebroplasty.

STUDY DESIGN: A retrospective, single-center, observational study. OBJECTIVE: This study investigated the risk factors associated with the failure of conservative treatment for adjacent vertebral fractures (AVFs). SUMMARY OF BACKGROUND DATA: Adjacent vertebral fractures following vertebroplasty for osteoporotic vertebral compression fractures are not uncommon. Presently, there is a lack of consensus regarding the management of adjacent vertebral fractures. METHODS: We included patients who developed adjacent vertebral fractures within two years post single-level vertebroplasty between January 2013 and December 2020. All patients initially underwent six weeks of conservative treatment, including pain medications, bracing, and physical therapy. Surgical intervention was offered to those with intractable back pain due to AVFs. Baseline demographics, AVF characteristics, and radiological measurements were systematically collected, and sequential univariable and multivariable logistic regression analyses were conducted to explore the risk factors. RESULTS: Of the 114 patients with a mean age of 78.6 years, two-thirds (76 patients) tolerated conservative treatment well, while 38 required surgical interventions for adjacent vertebral fractures. Both groups demonstrated similar baseline demographics and radiological parameters regarding AVFs (P>0.05). The multivariable logistic regression analyses revealed that the development of AVFs later than six months post-vertebroplasty and their caudal location to the index vertebroplasty were the independent risk factors of unsuccessful conservative treatment, with odds ratios of 3.57 (95% confidence interval [CI]: 1.14-11.1, P=0.029) and 2.50 (95% CI: 1.09-5.88, P=0.032), respectively. CONCLUSION: Adjacent vertebral fractures following percutaneous vertebroplasty generally have favorable outcomes under conservative treatment. However, the timing and the relative anatomical location of adjacent vertebral fractures are associated with treatment efficacy. Adjacent vertebral fractures occurring later than six months following the initial vertebroplasty or situated in the caudal location to the index vertebroplasty may exhibit reduced responsiveness to conservative treatment. These patients might benefit from a more aggressive therapeutic approach. LEVEL OF EVIDENCE: 3.

The effect of BMI on survival outcome of breast cancer patients: a systematic review and meta-analysis.

OBJECTIVE: The main goal of the present research is to explore the potential link of body mass index (BMI) with different survival metrics in breast cancer patients. Our aim is to offer the latest and most thorough meta-analysis, assessing the strength and reliability of the connection that BMI has with prognostic indicators in this disease. PATIENTS AND METHODS: As of January 2024, we conducted a systematic literature search across PubMed, Embase, Web of Science, and the Cochrane Library databases. Our search aimed to identify studies examining BMI as an exposure factor, with breast cancer patients constituting the study population, and utilizing adjusted hazard ratio (HR) as the data type of interest. RESULTS: The evidence synthesis incorporated a total of 61 eligible articles involving 201,006 patients. Being underweight posed a risk factor for overall survival (OS) in breast cancer patients compared to normal weight (HR 1.15, 95% CI 0.98-1.35; P = 0.08). Overweight or obesity, in comparison to normal weight, was a risk factor for OS (HR 1.18, 95% CI 1.14-1.23; P < 0.00001), disease-free survival (DFS) (HR 1.11, 95% CI 1.08-1.13; P < 0.00001), relapse-free survival (RFS) (HR 1.14, 95% CI 1.06-1.22; P = 0.03), and breast cancer-specific survival (BCSS) (HR 1.18, 95% CI 1.11-1.26; P < 0.00001), but not for progression-free survival (PFS) (HR 0.91, 95% CI 0.76-1.10; P = 0.33). Notably, in subgroup analyses, overweight patients achieved prolonged PFS (HR 0.80, 95% CI 0.64-0.99; P = 0.04), and compared to the obese population, the overweight cohort exhibited a significant difference in OS (HR 1.11, 95% CI 1.05-1.16; P < 0.00001) and DFS (HR 1.06, 95% CI 1.03-1.10; P = 0.0004), with a considerably stronger association. Furthermore, compared to HER- patients, HER + patients exhibited a greater predictive value for OS (HR 1.23, 95% CI 1.10-1.37; P = 0.0004), RFS (HR 1.30, 95% CI 1.03-1.64; P < 0.00001), and DFS (HR 1.10, 95% CI 1.03-1.17; P = 0.003). CONCLUSIONS: The results of our meta-analysis reveal a notable association between BMI and various survival measures in breast cancer prognosis. These findings provide a solid basis for predicting breast cancer outcomes and implementing more effective therapeutic approaches.

Effect of a Web-Based Integrative Support Intervention to Improve Family Caregiver Positive Caregiving Experience and Quality of Life: A Randomized Controlled Trial.

BACKGROUND: Cancer caregivers experience significant stress due to their multifaceted role. Current support methods are limited by unidimensional assessments. OBJECTIVE: The aim of this study was to evaluate a Web-based support system aimed at reducing caregiver stress and anxiety, and improving resilience, vigilance, and quality of life, using both subjective and objective measures. METHODS: A randomized controlled trial with a single-center, 2-arm parallel design and longitudinal assessment was conducted in Taiwan. Caregivers of patients recently diagnosed with cancer were randomly allocated to either a standard care group or an intervention group that received enhanced nurse-led support. Metrics including psychological resilience, caregiver burden, anxiety, quality of life, stress levels, and vigilance were systematically evaluated on a monthly basis over a period of 5 months, starting from the initial baseline measurement. RESULTS: Following the intervention, participants in the intervention group exhibited statistically significant reductions in caregiver burden and anxiety, alongside a notable improvement in resilience. Objective evaluations revealed a significant reduction in stress levels within this group. However, there were no discernible differences in vigilance and quality of life metrics between the intervention and control groups. CONCLUSION: The Web-based program effectively reduced caregiver stress and burden, as indicated by multiple metrics. IMPLICATIONS FOR PRACTICE: This accessible and efficient Web-based support is beneficial for cancer caregivers facing diverse challenges.

Surface modification prepared porous copper oxide/(Cu-S)n metal-organic framework/reduced graphene oxide hierarchical structure for highly selective electrochemical quercetin detection.

Electrochemical alkalization of (Cu-S)n metal-organic framework (MOF) and graphene oxide ((Cu-S)n MOF/GO) composite yields a new CuO/(Cu-S)n MOF/RGO (reduced GO) composite with porous morphology on screen printed carbon electrode (SPCE) which facilitated the electron transfer properties in electrochemical quercetin (QUE) detection. A selective QUE detection ability has been demonstrated by the constructed electrochemical sensor (CuO/(Cu-S)n MOF/RGO/SPCE), which also has a broad dynamic range of 0.5 to 115 µM in pH 3 by differential pulse voltammetry. The detection limit is 0.083 µM (S/N = 3). In this study, it was  observed that the real samples contained 0.34 mg mL-1 and 27.7 µg g-1 QUE in wine and onion, respectively.

Clinical Significance of the Plasma Biomarker Panels in Amyloid-Negative and Tau PET-Positive Amnestic Patients: Comparisons with Alzheimer's Disease and Unimpaired Cognitive Controls.

The purpose of this study was to investigate whether plasma biomarkers can help to diagnose, differentiate from Alzheimer disease (AD), and stage cognitive performance in patients with positron emission tomography (PET)-confirmed primary age-related tauopathy, termed tau-first cognitive proteinopathy (TCP) in this study. In this multi-center study, we enrolled 285 subjects with young-onset AD (YOAD; n = 55), late-onset AD (LOAD; n = 96), TCP (n = 44), and cognitively unimpaired controls (CTL; n = 90) and analyzed plasma Aß42/Aß40, pTau181, neurofilament light (NFL), and total-tau using single-molecule assays. Amyloid and tau centiloids reflected pathological burden, and hippocampal volume reflected structural integrity. Receiver operating characteristic curves and areas under the curves (AUCs) were used to determine the diagnostic accuracy of plasma biomarkers compared to hippocampal volume and amyloid and tau centiloids. The Mini-Mental State Examination score (MMSE) served as the major cognitive outcome. Logistic stepwise regression was used to assess the overall diagnostic accuracy, combining fluid and structural biomarkers and a stepwise linear regression model for the significant variables for MMSE. For TCP, tau centiloid reached the highest AUC for diagnosis (0.79), while pTau181 could differentiate TCP from YOAD (accuracy 0.775) and LOAD (accuracy 0.806). NFL reflected the clinical dementia rating in TCP, while pTau181 (rho = 0.3487, p = 0.03) and Aß42/Aß40 (rho = -0.36, p = 0.02) were significantly correlated with tau centiloid. Hippocampal volume (unstandardized ß = 4.99, p = 0.01) outperformed all of the fluid biomarkers in predicting MMSE scores in the TCP group. Our results support the superiority of tau PET to diagnose TCP, pTau181 to differentiate TCP from YOAD or LOAD, and NFL for functional staging.

Psychological factors associated with exercise self-efficacy in the recipients of an implantable cardioverter defibrillator.

BACKGROUND: Insufficient exercise affects the health of patients who have implantable cardioverter defibrillators (ICD). The purpose of this study was to investigate the correlations between exercise self-efficacy (ESE) and its associated psychological factors in ICD recipients. METHODS: This cross-sectional study included individuals who had undergone ICD implantation at the cardiology department of a medical centre in Taiwan. A face-to-face survey was conducted. The survey questionnaire included questions regarding the participants' demographics, perceived health (PH), ICD shock-related anxiety (ICD-SRA), self-care self-efficacy (SSE), perceived exercise benefit (PE-benefit), perceived exercise barrier (PE-barrier), and ESE. Data were analysed using SPSS 20.0 Software. Stepwise multiple regression analyses were also performed to evaluate the predictive effects of the aforementioned factors on ESE. RESULTS: A total of 52 ICD recipients were enrolled. ESE was negatively correlated with ICD-SRA (r = -0.511; p < 0.01) and PE-barrier (r = -0.563; p < 0.01), but positively correlated with SSE (r = 0.339; p < 0.05) and PE-benefit (r = 0.464; p < 0.01). The stepwise multiple regression analysis revealed that PE-barrier, PE-benefit, and ICD-SRA effectively predicted ESE in the participants. CONCLUSIONS: ESE may be improved by overcoming PE-barrier, ICD-SRA and enhancing PE-benefit. Consequently, improving ESE may enhance the health benefits of exercise.

Native language advantage in electrical brain responses to speech sound changes in passive and active listening condition.

It is not clear whether the brain can detect changes in native and non-native speech sounds in both unattended and attended conditions, but this information would be important to understand the nature of potential native language advantage in speech perception. We recorded event-related potentials (ERPs) for changes in duration and in Chinese lexical tone in a repeated vowel /a/ in native speakers of Finnish and Chinese in passive and active listening conditions. ERP amplitudes reflecting deviance detection (mismatch negativity; MMN and N2b) and attentional shifts towards changes in speech sounds (P3a and P3b) were investigated. In the passive listening condition, duration changes elicited increased amplitude in the MMN latency window for both standard and deviant sounds in the Finnish speakers compared to the Chinese speakers, but no group differences were observed for P3a. In passive listening to lexical tones, P3a was increased in amplitude for both standard and deviant stimuli in Chinese speakers compared to Finnish speakers, but the groups did not differ in MMN. In active listening, both tone and duration changes elicited N2b and P3b, but the groups differed only in pattern of results for the deviant type. The results thus suggest an overall increased sensitivity to native speech sounds, especially in passive listening, while the mechanisms of change detection and attentional shifting seem to work well for both native and non-native speech sounds in the attentive mode.

Applicability of selected Brighton Collaboration case definitions in low-resource settings: A prospective hospital-based active surveillance in Addis Ababa, Ethiopia.

INTRODUCTION: Standardizing case definitions for priority vaccine safety conditions facilitates uniform evaluation and consolidation of data obtained from different settings. The Brighton Collaboration case definitions (BCCD) were created to support this harmonization and enable classification from level 1 (most certain) to level 5 (not a case) of certainty. Assessing the performance of BCCD in practice is critical, particularly in resource-limited settings, where many new vaccines may be introduced without prior monitoring in high-income countries. We assessed the performance of BCCD in Addis Ababa, Ethiopia, as applicable to COVID-19 and other vaccines. METHODS: Active surveillance was conducted at Tikur Anbessa Specialized Hospital, the largest referral hospital in Ethiopia. During June 1, 2022-May 31, 2023, three trained physicians prospectively identified patients eligible for COVID-19 vaccination (regardless of vaccine receipt) who presented with one or more of eleven pre-specified adverse events of special interest (AESI) from the emergency department and inpatient wards. Standardized data collection forms were used to capture patient information and assign level of certainty (LOC), regardless of vaccination status for COVID-19. We conducted descriptive analysis to characterize cases and the LOCs reached for each AESI. RESULTS: We detected 203 AESI cases. The most detected conditions were thrombosis and thromboembolism (n = 100, 49 %) and generalized convulsions (n = 38, 19 %). Ninety-six percent of the cases were confirmed at levels 1-3 (n = 187) or level 5 (n = 9) LOC. Non-classifiable (level 4) cases were observed for pericarditis (n = 2), encephalitis (n = 2), myelitis (n = 2), and generalized convulsion (n = 1). CONCLUSION: The BCCD were successfully applied in > 95 % of cases in a large referral hospital in Ethiopia, with generalized convulsion, pericarditis, and encephalomyelitis as the exceptions. We recommend further evaluation in other low-resource settings, particularly in rural or non-referral hospitals, to gain additional insights into performance of these definitions for revision or adaptation, as needed.